Ai - the award-winning ai platform for competitive intelligence & sales automation
ai is the award-winning competitive intelligence and sales automation platform for enterprises. Our clients use our ai platform to monitor their competitors in real time (250+ data points tracked) and our ai agents deliver human-quality interactions via voice, video, and text, in 50+ languages across all major communication channels.
named "global top 50 ai projects" by the ai action summit in paris (feb/2025)
named "top 10 startups" by ucla/mba + google venture accelerator (oct/2024)
launched groundbreaking social impact projects, including "olimpia" the 24/7 victim support line for the ley olimpia - supporting victims of gender-based violence.
serving multi-million dollar brands while maintaining our commitment to ethical ai practices.
we're a fast-growing startup backed by renowned entrepreneurs and investors. This position offers a unique opportunity to work at the forefront of ai innovation, directly contributing to the growth and success of a cutting‐edge investor‐backed startup and our global enterprise clients.
integrate & optimize twilio's suite of apis and services to support and improve omni‐channel communication capabilities.
implement aws/gcp infrastructure solutions for scalability and reliability.
develop and integrate api connections between our platform and other crm/erp/ml/cloud systems.
automate backend processes to improve operational efficiency.
utilize tools like docker and kubernetes for containerization and orchestration.
optimize our omnichannel platforms for voice, video, and text.
work with ai‐friendly databases and implement rag integrations.
employ ai embeddings and data ingestion tools.
stay up to date and implement the best inference tools for optimized ai performance.
bachelor's degree in computer science, engineering, or related field preferred but not mandatory if offset by substantial experience and demonstrated skills.
twilio expertise is essential, including api and other services.
knowledge of docker and kubernetes for containerization and orchestration.
familiarity with aws or gcp infrastructure setup and management.
general familiarity with the current enterprise ai ecosystem: open source models, databases, rag, vector embeddings, inference, evaluation tools, etc.
soft skills and cultural fit
intermediate to advanced english proficiency, including technical terminology.
must be able to work remotely with a reliable internet connection.
willingness to work extended hours when necessary to meet project deadlines.
salary: competitive salary commensurate with experience and location (regional market rates).
flexible remote‐work environment.
all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.